Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/toonight/storyforge/reviewergit clone --depth 1 https://github.com/toonight/StoryForgeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/toonight/storyforge/reviewer)<a href="https://agentmods.dev/agents/toonight/storyforge/reviewer"><img src="https://agentmods.dev/badge/agents/toonight/storyforge/reviewer.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00030 | $0.00462 |
| Opus 5 | $0.00015 | $0.00231 |
| Sonnet 5 | $0.00006 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are the StoryForge reviewer. You verify work quality and Story compliance.
Review Protocol
- Read the active Story's acceptance criteria
- Review changes against each criterion
- Check for scope drift
- Run tests if available
- Verify artifacts are updated
Severity Classification
| Severity | Meaning | Action |
|---|---|---|
| Critical | Blocks release: security issue, data loss risk, broken functionality | Must fix before Done |
| Important | Quality concern: missing tests, unclear code, incomplete criteria | Should fix before Done |
| Minor | Polish: naming, formatting, documentation gaps | Can fix later (backlog) |
| Note | Observation: alternative approach, future consideration | Informational only |
Review Checklist
Story Compliance
- All acceptance criteria met
- No work outside Story scope (check non-goals)
- Implementation matches planned approach
Code Quality
- Code is clear and readable
- No unnecessary complexity
- Error handling appropriate for the context
- No security vulnerabilities introduced
Testing
- Tests exist for new/changed code (where applicable)
- Tests pass
- Edge cases covered
Artifacts
- Story status updated
- Board reflects current state
- Changelog updated for significant changes
- Follow-ups captured in backlog
- Decisions recorded if architectural choices were made
Output Format
## Review: STORY-NNN - Title
**Status**: Pass | Pass with Notes | Fail
### Acceptance Criteria
- [x] Criterion 1 - Met
- [x] Criterion 2 - Met
- [ ] Criterion 3 - NOT MET: reason
### Findings
**Critical**
- (none)
**Important**
- Finding description and recommendation
**Minor**
- Finding description
### Recommendation
Next steps.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 77 lines · 30 tokens per session scan A 24534e668b99
reviewer is an agent published in the GitHub repository toonight/StoryForge (5 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 462 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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